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External funding, efficiency and productivity growth in public research: the case of the Italian National Research Council

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  • Greta Falavigna
  • Alessandro Manello

Abstract

This article presents an application of the Directional Output Distance Function (DODF) model to measure the internal performances of the Italian National Research Council (CNR). Research institutes are seen as Decision Making Units (DMUs), which produce two different kinds of scientific outputs using inputs. We consider some outputs more important from a scientific point of view than others, which we refer to as bad. Financial constraints, recently imposed by the government, do not allow the institutes to freely dispose of their output portfolio, and bad outputs have to be produced in order to obtain external funds. Using the DODF framework it is possible to estimate the effect of fund cuts in terms of potential scientific products lost. By applying the Malmquist--Luenberger indexes we produce evidence on the trend of Total Factor Productivity (TFP) after the 2003 internal restructuring process. A comparison of results within the standard efficiency framework is provided and the big differences that emerge allow us to draw alternative conclusions on the recent evidence. Copyright The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

Suggested Citation

  • Greta Falavigna & Alessandro Manello, 2013. "External funding, efficiency and productivity growth in public research: the case of the Italian National Research Council," Research Evaluation, Oxford University Press, vol. 23(1), pages 33-47, December.
    • Handle: RePEc:oup:rseval:v:23:y:2013:i:1:p:33-47
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    File URL: http://hdl.handle.net/10.1093/reseval/rvt026
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    Cited by:

    1. Juan Aparicio & Jose Manuel Cordero & Carlos Díaz-Caro, 2020. "Efficiency and productivity change of regional tax offices in Spain: an empirical study using Malmquist–Luenberger and Luenberger indices," Empirical Economics, Springer, vol. 59(3), pages 1403-1434, September.
    2. Greta Falavigna & Alessandro Manello, "undated". "Labour productivity and social network metrics in scientific research," CERIS Working Paper 201418, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    3. Mario Coccia & Greta Falavigna & Alessandro Manello, 2015. "The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 151-168, January.

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